Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Texas at Dallas
- University of Sheffield
- Carnegie Mellon University
- Howard Hughes Medical Institute
- New England HERC
- Boston University
- Howard Hughes Medical Institute (HHMI)
- Monash University
- Nanyang Technological University
- University of Colorado
- University of Florida
- University of Washington
- CEA
- CNRS
- Chinese Institute for Brain Research, Beijing
- ETH Zurich
- Forschungszentrum Jülich
- Hanyang University
- Institut Pasteur
- Johns Hopkins University- Department of Biology
- Kunming Institute of Zoology, Chinese Academy of Sciences
- Maastricht University (UM)
- National University of Singapore
- Niigata University
- RMIT UNIVERSITY
- Technische Universität München
- The University of Iowa
- The University of Tokyo
- Tokyo University of Science
- UNIVERSITY OF MACAU
- University of Amsterdam (UvA)
- University of British Columbia
- University of California, San Francisco
- University of Chinese Academy of Sciences (UCAS)
- University of Lincoln
- University of Michigan
- University of Newcastle
- University of Oxford
- University of Texas at Arlington
- University of Texas at Austin
- University of Twente
- 31 more »
- « less
-
Field
-
Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
-
Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
-
epilepsy. To make a meaningful interface at the group level, developing generic brain decoding models that work well across different subjects is crucial. However, because of the structural and
-
-decoding related to implantable brain-computer interface technologies, a strong commitment to interdisciplinary research, and the ability to attract competitive third-party funding. A commitment to
-
Design and independently conduct brain-computer interface (BCI) experiments. Collect electroencephalogram (EEG) and other physiological data. Maintain accurate records of experimental procedures and
-
round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals. For this
-
sustainable and less invasive communication technologies for BCI applications. Contract duration (months) [3 to 6 months] Job description Brain Computer Interface allows direct communication link between
-
research will interact with other hires in the convergent search, including faculty in animal systems neuroscience, brain-computer interface, and clinical translational applications. Primary Appointment
-
large-scale neural data (such as imaging datasets, electrophysiology datasets or video data) is highly desirable. Proficiency in popular deep learning, computer vision and/or user-interface software
-
particular interest in the etiology and development of novel therapies for neurological diseases, advanced technology and method development, and brain-machine interface research. Exceptional